Article
Environmental Sciences
Gizem Senel, Manuel A. A. Aguilar, Fernando J. J. Aguilar, Abderrahim Nemmaoui, Cigdem Goksel
Summary: This study tested the performance of eight widely applied supervised segmentation metrics and found the best metric for evaluating PCG segmentation quality. It also examined the effect of several factors on PCG segmentation quality through a factorial analysis of variance design. The results showed that MED2 was the best metric for evaluating PCG segmentation quality, and the interaction between reflectance storage scale and shape parameter was the most critical factor affecting MRS accuracy.
Article
Environmental Sciences
Jonathan Gabriel Escobar-Flores, Sarahi Sandoval, Eduardo Gamiz-Romero
Summary: Six supervised classification algorithms were compared in this study, with the object-based algorithm found to have the highest overall accuracy. It is recommended for aiding growers in managing their agave plantations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Computer Science, Artificial Intelligence
Lin Sui, Chen-Lin Zhang, Jianxin Wu
Summary: Weakly supervised vision tasks, such as detection and segmentation, have received significant attention recently. However, the lack of detailed and precise annotations in weakly supervised scenarios results in a large accuracy gap compared to fully supervised methods. In this article, we propose a new framework called Salvage of Supervision (SoS) to effectively utilize all potentially useful supervisory signals in weakly supervised vision tasks. By applying SoS-WSOD to weakly supervised object detection, we achieve a significant reduction in the technology gap and overcome the limitations of traditional methods.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Engineering, Multidisciplinary
Xinyue Zhao, Quanzhi Li, Meng Zhang, Quanyou Wang, Zaixing He, Yongfeng Lv
Summary: In this study, a novel periphery-restrictive region-growing-based segmentation method is proposed to address the challenging scene of closely adjacent objects in three-dimensional point cloud segmentation. The method includes steps such as cloud smoothing, periphery extraction, initial seed generation, and periphery restrictive growing algorithm, which have demonstrated effective and accurate segmentation results.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
Summary: We propose a novel and unified solution for user-guided video object segmentation tasks by leveraging memory networks and learning to read relevant information from all available sources. Our method achieves state-of-the-art performance along with a fast runtime on the latest benchmark sets.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Article
Environmental Sciences
Connor J. Anderson, Daniel Heins, Keith C. Pelletier, Julia L. Bohnen, Joseph F. Knight
Summary: This study tested the utility of RGB UAS imagery for mapping Phragmites in two locations in the U.S. The highest overall classification accuracy of 90% was achieved when pairing the UAS imagery with a UAS-derived CHM. The inclusion of RADARSAT-2 HH polarization and commercial satellite stereo retrievals slightly reduced classification accuracy.
Article
Robotics
Jingdao Chen, Zsolt Kira, Yong K. Cho
Summary: This research proposes a learnable region growing method for class-agnostic point cloud segmentation, which outperforms competing methods on different evaluation metrics.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Information Systems
Yuk Heo, Yeong Jun Koh, Chang-Su Kim
Summary: In video object segmentation, the memory-based approach has significantly improved the results. However, the temporal smoothness between the query frame and the local memory is often overlooked. This paper proposes local memory read-and-compare operations to address this issue, leading to more strict segmentation results compared to state-of-the-art algorithms.
Article
Computer Science, Artificial Intelligence
Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin
Summary: In this paper, the semi-supervised video object segmentation problem is placed in a cyclic workflow, and the defects in currently prevailing pipelines are collectively addressed via the inherent cyclic property of semi-supervised VOS systems, resulting in improved segmentation quality and robustness of VOS algorithms.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2022)
Article
Engineering, Electrical & Electronic
Fanchao Lin, Hongtao Xie, Chuanbin Liu, Yongdong Zhang
Summary: In this paper, a method of capturing temporal dependencies and gathering information from multiple frames through bilateral temporal re-aggregation is proposed. Experimental results show that the method outperforms previous methods while maintaining efficiency.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Environmental Sciences
Ioannis Kotaridis, Maria Lazaridou
Summary: Accurate and updated maps of surface water extent are crucial for wetland management, with satellite remote sensing being a key and cost-effective tool due to challenges in obtaining information through ground surveys. Optical data are often affected by cloud cover and solar illumination, making radar data an ideal alternative. This article presents a methodological framework for rapidly delineating waterbodies' boundaries, achieving promising results in accuracy.
GEOCARTO INTERNATIONAL
(2022)
Article
Computer Science, Artificial Intelligence
Yonghao Xu, Pedram Ghamisi
Summary: This paper proposes a consistency-regularized region-growing network (CRGNet) for semantic segmentation of very high-resolution (VHR) remote sensing images. The CRGNet selects unlabeled pixels with high confidence to expand the annotated area, and employs a consistency regularization strategy to control the quality of the expanded annotations. Experimental results demonstrate that the proposed CRGNet outperforms existing methods on benchmark datasets.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Jiadai Sun, Yuxin Mao, Yuchao Dai, Yiran Zhong, Jianyuan Wang
Summary: This paper proposes a motion uncertainty-aware framework (MUNet) for semi-supervised video object segmentation, which utilizes motion information to improve performance. By incorporating uncertainty in dense matching and introducing a motion-aware spatial attention module, the proposed framework achieves significant improvement on challenging benchmarks.
PATTERN RECOGNITION
(2023)
Article
Remote Sensing
Xiaona Wang, Le Wang, Jinyan Tian, Chen Shi
Summary: This study aimed to improve upon the limitations of the Ppf-CM method by incorporating geometric, texture, and contextual information. A new object-based phenological feature composite method (OPpf-CM) was developed, which involved stacking two images acquired during distinctive phenological periods of Spartina alterniflora, deriving spectrally homogeneous objects, and using various features from these objects as input for a support vector machine classifier to generate a map of S. alterniflora with higher accuracy than the pixel-based method.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Shouhang Du, Shihong Du, Bo Liu, Xiuyuan Zhang
Summary: The study proposes a novel object-based UFZ mapping method using very-high-resolution remote sensing images. It achieves pixel-wise predictions of urban functions for geographic objects and regroups objects into UFZs using a conditional random field framework. The method provides accurate function information for objects and can be applied for producing large-scale and fine-grained UFZ maps.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Geography, Physical
Costanza Morino, Susan J. Conway, Matthew R. Balme, John Hillier, Colm Jordan, Thornorsteinn Saemundsson, Tom Argles
EARTH SURFACE PROCESSES AND LANDFORMS
(2019)
Article
Geography
M. J. Smith, F. Parrott, A. Monkman, J. O'Connor, L. Rousham
Editorial Material
Geography
S. Tooth, M. J. Smith, H. A. Viles, F. Parrott
Article
Geosciences, Multidisciplinary
M. J. Uddin, Peter S. Hooda, A. S. M. Mohiuddin, Mike Smith, Martyn Waller
Article
Geochemistry & Geophysics
Costanza Morino, Susan J. Conway, Porsteinn Saemundsson, Jon Kristinn Helgason, John Hillier, Frances E. G. Butcher, Matthew R. Balme, Colm Jordan, Tom Argles
EARTH AND PLANETARY SCIENCE LETTERS
(2019)
Article
Environmental Sciences
Laurent G. Courty, Robert L. Wilby, John K. Hillier, Louise J. Slater
ENVIRONMENTAL RESEARCH LETTERS
(2019)
Article
Environmental Sciences
Paolo De Luca, Colin Harpham, Robert L. Wilby, John K. Hillier, Christian L. E. Franzke, Gregor C. Leckebusch
Article
Geography, Physical
Stephanie C. Mills, Anne M. Le Brocq, Kate Winter, Michael Smith, John Hillier, Ekaterina Ardakova, Clare M. Boston, David Sugden, John Woodward
JOURNAL OF GLACIOLOGY
(2019)
Editorial Material
Environmental Sciences
John K. Hillier, Tom Matthews, Robert L. Wilby, Conor Murphy
NATURE CLIMATE CHANGE
(2020)
Article
Environmental Sciences
J. K. Hillier, R. S. Dixon
ENVIRONMENTAL RESEARCH LETTERS
(2020)
Article
Engineering, Geological
Costanza Morino, Susan J. Conway, Matthew R. Balme, Jon Kristinn Helgason, Thorsteinn Saemundsson, Colm Jordan, John Hillier, Tom Argles
Summary: Ongoing climate change is leading to increasing permafrost degradation, impacting slope stability in periglacial environments. Recent landslides in northern Iceland demonstrate the influence of thawing ground ice on landslide morphology and dynamics, shedding light on the development of landslides in unstable ice-cemented deposits. The hazardous consequences of permafrost degradation in mountain regions, particularly the thawing of ground ice in steep terrain, will have long-term impacts on slope stability.
Article
Environmental Sciences
Emanuele Bevacqua, Carlo De Michele, Colin Manning, Anais Couasnon, Andreia F. S. Ribeiro, Alexandre M. Ramos, Edoardo Vignotto, Ana Bastos, Suzana Blesic, Fabrizio Durante, John Hillier, Sergio C. Oliveira, Joaquim G. Pinto, Elisa Ragno, Pauline Rivoire, Kate Saunders, Karin van der Wiel, Wenyan Wu, Tianyi Zhang, Jakob Zscheischler
Summary: Compound weather and climate events are combinations of climate drivers and/or hazards that require a multidisciplinary approach for study. There are four types of compound events introduced recently: preconditioned, multivariate, temporally compounding, and spatially compounding events. Case studies show the impacts and challenges posed by compound events in various domains such as agriculture, flooding, landslides, and food security.
Article
Geography
P. D. Timms, J. K. Hillier, C. P. Holland
Summary: This article illustrates a study on data sharing in the insurance industry, which is analytics-driven and relies on geospatial data. The research proposes a conceptual model of data sharing in (re)insurance, focusing on loss data for natural hazards. The study examines the barriers and solutions to data sharing and offers insights into the future shape of insurance data sharing. It also discusses the potential threat posed by external disruptors such as InsurTech startups and tech giants.
Article
Meteorology & Atmospheric Sciences
H. C. Bloomfield, J. Hillier, A. Griffin, A. L. Kay, L. C. Shaffrey, F. Pianosi, R. James, D. Kumar, A. Champion, P. D. Bates
Summary: This study systematically investigates the correlations between wintertime extremes of wind and flooding, and finds strong positive correlations between wind gusts and precipitation, as well as between wind gusts and river flows at specific timescales. A new flood severity index (FSI) is developed to provide actionable information for insurers and other stakeholders. The study also highlights the potential impact of climate change on severe flood-wind episodes.
WEATHER AND CLIMATE EXTREMES
(2023)
Article
Geography
Joshua J. Thompson, Robert L. Wilby, John K. Hillier, Richenda Connell, Geoffrey R. Saville
Summary: There is growing evidence that physical climate hazards, such as floods and wildfires, have an impact on property prices. This raises concerns about the risks posed to homeowners, insurance and mortgage industries, bank portfolios, and financial systems. Climate gentrification (CG) captures the links between climate hazards, perceptions of risk and resilience, and capital flows in property markets. The study demonstrates how CG has depressed house price growth in flood-exposed locations and discusses ethical concerns and policy implications.
ANNALS OF THE AMERICAN ASSOCIATION OF GEOGRAPHERS
(2023)
Article
Geography, Physical
A. Securo, C. Del Gobbo, L. Rettig, S. Pillon, A. De Luca, D. Fontana, E. Benedetti Fasil, R. R. Colucci
Summary: Small glaciers in temperate mountain regions have experienced significant reduction and unprecedented melt rates in recent years. Some glaciers have transitioned from clean ice to debris-covered or even rock glaciers. This study examines the surface elevation change of the Popera Alto glacier in the Sesto Dolomites using LiDAR and Structure from Motion surveys, and analyzes its evolution in terms of surface cover and geomorphic processes. The glacier has lost an average of 0.35 m water equivalent per year over the past 16 years, with active modification of its surface cover by geomorphic processes. The role of debris and local topography feedback has allowed the resilience of the glacier, leading to a marked difference between the current environmental equilibrium line altitude (envELA) and the effective ELA (effELA) of the glacier.
Article
Geography, Physical
Zhenzhen Yan, Yaolin Shi, Lili Kang, Xiangtao Fan
Summary: This study proposes a quantitative regional deformation model based on global positioning system (GPS) data to quantitatively analyze the morphological evolution of rivers in the Three Rivers Region. It finds that tectonic deformation phases significantly control regional landscape development and drainage features.
Article
Geography, Physical
Said Mukhtar Ahmad, Nitheshnirmal Sadhasivam, Mona Lisa, Luigi Lombardo, Mustafa Kemal Emil, Amira Zaki, Cees J. Van Westen, Islam Fadel, Hakan Tanyas
Summary: In this study, we investigated a large slow-moving landslide in Northern Pakistan, using Interferometric Synthetic Aperture Radar (InSAR) analysis. Our results showed that the crown of the landslide is moving faster than the surrounding regions, while the footslope experienced high deformations. We discussed the possible roles of meteorologic and anthropogenic factors in causing these deformations.
Article
Geography, Physical
Shuang Bian, Xibin Tan, Yiduo Liu, Suoya Fan, Junfeng Gong, Chao Zhou, Feng Shi, Michael A. Murphy
Summary: The Yarlung River's drainage divide is primarily moving north due to variations in precipitation across the Himalayas. The Gangdese drainage divide shows predominantly northward and southward migration, controlled by base-level rise and downstream influences. The presence of north-trending rifts separates the drainage divides into five zones, each with a distinct migration pattern.
Article
Geography, Physical
Joon-Young Park, Seok Yoon, Deuk-Hwan Lee, Seung-Rae Lee, Hwan-Hui Lim
Summary: This study developed a multiple-regression model to estimate site-specific average growth rates of debris flow events. The proposed model was validated through a case study and showed reasonable predictions of debris flow velocities and heights.
Article
Geography, Physical
Nicholas Reilly Mccarroll, Arnaud Temme
Summary: New geochronological data from hillslope boulder armor in the Flint Hills reveal the rates and timing of lateral retreat in the landscape. Surfaces of limestone boulders dating back to the Pleistocene era were found, and the ages of the hillslope armor increased with distance from the limestone bench. The estimated rate of lateral retreat in this landscape is 0.02 mm/yr.
Article
Geography, Physical
Xinbo Yao, Yuntao Tian
Summary: By studying the Longmenshan-Minshan drainage divide, we found that it has reached a dynamic steady state, indicating a balance between erosion and rock uplift. This study also reveals the process of formation and evolution of the divide and raises questions about the effectiveness of divide migration metrics.
Article
Geography, Physical
Junhui Yu, Pin Yan, Yanlin Wang, Guangjian Zhong, Changliang Chen
Summary: The seafloor mounds in the Chaoshan Depression of the South China Sea are identified as mud volcanoes, with fluids coming from underlying mud-fluid diapirs. The hydrocarbon gases feeding the mud volcanoes and diapirs are reasoned to originate from deep Mesozoic source rocks, indicating significant Mesozoic hydrocarbon potential in the Chaoshan Depression.
Article
Geography, Physical
Marius Huber, Luc Scholtes, Jerome Lave
Summary: This paper investigates the relationships between hillslope stability and fabric anisotropy of brittle rock materials and the implications for landscape shaping. It explores the different stability modes and movement characteristics of anisotropic materials, and demonstrates the significant control of material anisotropy on landscape shaping.
Article
Geography, Physical
Shubhra Sharma, Anil D. Shukla
Summary: The study investigates the relationship between glacial dynamics and lake sedimentation during the mid-Holocene climate variability in the Southern Zanskar ranges. It utilizes geomorphological disposition, elemental geochemistry, and optical chronology of relict lake sediment to reconstruct the pattern of minor glacier responses to climate variability. The results indicate six centennial to millennial-scale climatic phases, with warmer phases represented by decreased mineralogical fine grain flux and increased coarse grain flux. The study highlights the potential of relict lake sediment and para/peri-glacial landforms in understanding glacial dynamics and climate change during the Holocene.
Article
Geography, Physical
Jean-Francois Bernier, Sydney W. Meury, Patrick Lajeunesse
Summary: In this study, an approach combining various data and observation methods was proposed to improve the monitoring of landfast ice dynamics and its geomorphic impact on sedimentary systems. The results demonstrate the ability of the approach to accurately measure interannual variations in landfast ice and constrain geomorphic changes. Additionally, the study found a strong relationship between the severity of freezing seasons and the response of landfast ice to hydrometeorological events, with different geomorphic responses observed under different winter conditions.
Article
Geography, Physical
Heping Shu, Fanyu Zhang
Summary: This study investigates the relationship between susceptibility of soil-water hazards and human activities, geoheritage sites in the Loess Plateau, China. Landslide and gully erosion susceptibility were obtained using gradient boosting and support vector machines, and a hazard matrix was formed to couple landslide and gully erosion susceptibility. The study found different trends in the magnification times of soil-water hazards chain under different scenarios.
Article
Geography, Physical
Guangqiang Qian, Zhuanling Yang, Xuegang Xing, Zhibao Dong, Youyuan Guo
Summary: Granule ripples are aeolian landforms armored against erosion by coarse grains. This study investigates their seasonal morphological evolution and migration in the Sanlongsha Dune Field. The findings show that wind events, especially those exceeding the threshold velocities of coarse grains, significantly influence the morphodynamics of granule ripples. The study highlights the importance of considering the reptation and saltation of coarse grains in future research on granule ripples.